A new interval-valued fuzzy multi-objective approach for project time–cost–quality trade-off problem with activity crashing and overlapping under uncertainty

PurposeMost projects are facing delays, and accelerating the pace of project progress is a necessity. Project managers are responsible for completing the project on time with minimum cost and with maximum quality. This study provides a trade-off between time, cost, and quality objectives to optimize...

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Vydáno v:Kybernetes Ročník 52; číslo 10; s. 4731 - 4759
Hlavní autoři: Mahdavi-Roshan, Pouyan, Mousavi, Seyed Meysam
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Emerald Publishing Limited 01.11.2023
Emerald Group Publishing Limited
Témata:
Algorithms
Case studies
Coronaviruses
Decision making
Design optimization
Efficiency
Fuzzy sets
Integer programming
Linear programming
Mathematical models
Minimum cost
Multiple objective analysis
Parameter uncertainty
Project management
Renewable resources
Scheduling
Sensitivity analysis
Tradeoffs
Time–cost–quality trade-off
Overlapping
Project scheduling
Interval-valued fuzzy sets
Crashing
ISSN:0368-492X, 1758-7883
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Shrnutí:PurposeMost projects are facing delays, and accelerating the pace of project progress is a necessity. Project managers are responsible for completing the project on time with minimum cost and with maximum quality. This study provides a trade-off between time, cost, and quality objectives to optimize project scheduling.Design/methodology/approachThe current paper presents a new resource-constrained multi-mode time–cost–quality trade-off project scheduling model with lags under finish-to-start relations. To be more realistic, crashing and overlapping techniques are utilized. To handle uncertainty, which is a source of project complexity, interval-valued fuzzy sets are adopted on several parameters. In addition, a new hybrid solution approach is developed to cope with interval-valued fuzzy mathematical model that is based on different alpha-levels and compensatory methods. To find the compatible solution among conflicting objectives, an arithmetical average method is provided as a compensatory approach.FindingsThe interval-valued fuzzy sets approach proposed in this paper is denoted to be scalable, efficient, generalizable and practical in project environments. The results demonstrated that the crashing and overlapping techniques improve time–cost–quality trade-off project scheduling model. Also, interval-valued fuzzy sets can properly manage expressions of the uncertainty of projects which are realistic and practical. The proposed mathematical model is validated by solving a medium-sized dataset an adopted case study. In addition, with a sensitivity analysis approach, the solutions are compared and the model performance is confirmed.Originality/valueThis paper introduces a new continuous-based, resource-constrained, and multi-mode model with crashing and overlapping techniques simultaneously. In addition, a new hybrid compensatory solution approach is extended based on different alpha-levels to handle interval-valued fuzzy multi-objective mathematical model of project scheduling with influential uncertain parameters.
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ISSN:0368-492X
1758-7883
DOI:10.1108/K-11-2021-1217